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Short Citation:
OCM Partners, 2023: 2018 - 2019 USGS Lidar: Northern California Wildfire - QL1, https://www.fisheries.noaa.gov/inport/item/59131.

Item Identification

Title: 2018 - 2019 USGS Lidar: Northern California Wildfire - QL1
Short Name: ca2018_nocal_wildfire_ql1_m9067_metadata
Status: Completed
Creation Date: 2019
Publication Date: 2019-10-01
Abstract:

Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1000 m x 1000 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: 8 counties in California: Butte, Lassen, Marin, Plumas, Shasta, Sierra, Tehama, Yuba

Dataset Description: The Northern California - QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 Contiguous USA Albers, Meter and vertical datum of NAVD88 GEOID 12B, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 1000 m x 1000 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in summer, fall, and winter 2018 and winter, spring, and summer 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 387 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 678 independent accuracy checkpoints, 380 in Bare Earth and Urban landcovers (380 NVA points), 298 in Tall Weeds categories (298 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded this data set in 4 blocks from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The blocks downloaded were:

USGS_LPC_CA_NoCAL_Wildfires_B5b_QL1_2018 Number of files: 1799

USGS_LPC_CA_NoCAL_Wildfires_CampFire_2018 Number of files: 768

USGS_LPC_CA_NoCAL_Wildfires_PlumasNF_B1_2018 Number of files: 4298

USGS_LPC_CA_NoCAL_Wildfires_PlumasNF_B2_2018 Number of files: 5081

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 11,946.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that this product has not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

Contract No. G16PC00016, Task Order No. 140G0218F0251; CONTRACTOR: Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Riegl VQ1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.48",

"ldradens" : "4.34",

"ldrfltht" : "2000",

"ldrfltsp" : "160",

"ldrscana" : "29",

"ldrscanr" : "46",

"ldrpulsr" : "100",

"ldrpulsd" : "3",

"ldrpulsw" : "0.36",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2217.0",

"ldrswato" : "55",

"ldrgeoid" : "GEOID 12B",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Leica ALS70",

"ldrmaxnr" : "4",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.6",

"ldradens" : "2.78",

"ldrfltht" : "2200",

"ldrfltsp" : "140",

"ldrscana" : "15",

"ldrscanr" : "46",

"ldrpulsr" : "245",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1179.0",

"ldrswato" : "30",

"ldrgeoid" : "GEOID 12B",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.6",

"ldradens" : "2.78",

"ldrfltht" : "2300",

"ldrfltsp" : "140",

"ldrscana" : "14",

"ldrscanr" : "60",

"ldrpulsr" : "240",

"ldrpulsd" : "2.5",

"ldrpulsw" : "0.51",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1147.0",

"ldrswato" : "30",

"ldrgeoid" : "GEOID 12B",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Riegl VQ1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.6",

"ldradens" : "2.78",

"ldrfltht" : "2300",

"ldrfltsp" : "140",

"ldrscana" : "30",

"ldrscanr" : "165",

"ldrpulsr" : "800",

"ldrpulsd" : "3",

"ldrpulsw" : "0.41",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2656.0",

"ldrswato" : "30",

"ldrgeoid" : "GEOID 12B",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0.087",

"rawnvan" : "374",

"clsnva" : "0.086",

"clsnvan" : "380",

"clsvva" : "0.27",

"clsvvan" : "298"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "In-land Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Snow (where identifiable)"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Exclusion (if applicable)"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None erosion

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Continent > North America > United States Of America > California > Butte County
None Continent > North America > United States Of America > California > Lassen County
None Continent > North America > United States Of America > California > Marin County
None Continent > North America > United States Of America > California > Plumas County
None Continent > North America > United States Of America > California > Shasta County
None Continent > North America > United States Of America > California > Sierra County
None Continent > North America > United States Of America > California > Tehama County
None Continent > North America > United States Of America > California > Yuba County

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., USGS, NOAA, the Office for Coastal Management or its partners,

Data Set Credit: Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 901155
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 901154
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 901156
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 901157
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1144410
W° Bound: -123.036464
E° Bound: -120.076019
N° Bound: 40.52375
S° Bound: 37.805658

Extent Group 1 / Time Frame 1

CC ID: 1144409
Time Frame Type: Range
Start: 2018-07-07
End: 2019-09-05

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 901149
Point Object Present?: Yes
Point Object Count: 118006021289

Reference Systems

Reference System 1

CC ID: 1144407

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and custom downloads.

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 901161
Start Date: 2020-03-26
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9067
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 901162
Start Date: 2020-03-26
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9067/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 901151
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 2

CC ID: 901152
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9067/supplemental/ca2018_wildfire_ql1_m9067.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 901277
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9067/supplemental/33371_USGS_NoCal_LiDAR_ProjectReport.pdf
Name: Lidar Report
URL Type:
Online Resource
Description:

Link to the lidar report.

URL 4

CC ID: 901278
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9067/breaklines/
Name: Breaklines
URL Type:
Online Resource
Description:

Link to the breaklines.

Technical Environment

Description:

MicroStation Version 8; TerraScan Version 18; TerraModeler Version 18; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.3; Global Mapper 19; Leica Cloud Pro 1.2.4, RiProcess 1.8.5; Windows 10 Operating System

\\point_cloud\tilecls\*.las

Data Quality

Vertical Positional Accuracy:

The specifications require that only nonvegetated vertical accuracy (NVA) be computed for raw LiDAR data swath files. The vertical accuracy was tested with 374 independent survey points located in open terrain. These check points were not used in the calibration or post processing of the LiDAR data. The survey check points were distributed throughout the project area.

Tested 0.087 meters NVA at a 95% confidence level using 374 independent survey points located in open terrain. The survey check points were distributed throughout the project area. The 374 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified LiDAR surface were measured for the x,y location of each checkpoint. Elevations interpolated from the LiDAR surface were then compared to the elevation values of the surveyed control points. The root mean square error vertical (RMSEz) was computed to be 0.044 meters. AccuracyZ has been tested to meet 19.0 cm NVA at 95-percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines.

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

Ground Control for the Northern California - QL1 Project

CC ID: 1144403
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2019-10-01
Extent Type: Discrete
Extent Start Date/Time: 2018-11-29
Source Contribution:

This data source was used (along with airborne GPS/IMU data) to georeference the LiDAR point cloud data.

Process Steps

Process Step 1

CC ID: 1144404
Description:

Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.

Process Date/Time: 2019-01-01 00:00:00

Process Step 2

CC ID: 1144405
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2019-01-01 00:00:00

Process Step 3

CC ID: 1144406
Description:

The NOAA Office for Coastal Management (OCM) downloaded this data set in 4 blocks from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The blocks downloaded were:

USGS_LPC_CA_NoCAL_Wildfires_B5b_QL1_2018 Number of files: 1799

USGS_LPC_CA_NoCAL_Wildfires_CampFire_2018 Number of files: 768

USGS_LPC_CA_NoCAL_Wildfires_PlumasNF_B1_2018 Number of files: 4298

USGS_LPC_CA_NoCAL_Wildfires_PlumasNF_B2_2018 Number of files: 5081

The total number of files downloaded and processed was 11,946.

The data were in Albers Equal Area (NAD83 2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground, 21 - Snow, 22 - Temporal Exclusion. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 17, 18, 20, 21, 22.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from Albers Equal Area (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2020-03-27 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018 - 2019 USGS Lidar: Northern California Wildfire - QL2

Catalog Details

Catalog Item ID: 59131
GUID: gov.noaa.nmfs.inport:59131
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2020-03-26 11:55+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16